Quantitative Statistical Analytica Tools STATA

Stata is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics.

Extended regression models (ERMs)

(ERMs) is our name for a specific class of models that address several complications that arise frequently in data:

1) Endogenous covariates

2) Sample selection

3) Non random treatment assignment.

Latent Class Analysis

Stata’s gsem command now supports latent class analysis (LCA).
Latent class models use categorical latent variables. Categorical means group. Latent means unobserved.

Finite Mixture Models

The new fmm: prefix command can be used with 17 Stata estimation commands to fit finite mixture models (FMMs). This means that with the fmm: prefix, we can now fit finite mixtures of regression models for continuous, binary, ordinal, count, categorical, and even survival-time outcomes.

Spatial Auto-regressive Models

Spatial autoregressive (SAR) models are fit using datasets that contain observations on geographical areas or on any units with a spatial representation. Fit linear models with autoregressive errors and spatial lags of the dependent and independent variables. Specify spatial lags using spatial weighting matrices.

Markdown and Dynamic Documents

Markdown is a standard markup language that provides text formatting from plain text input. It was designed to be easily converted into HTML, the language of the web.

For whom this solution is best fit for

Finance,Business and Marketing:

Data-driven researchers in finance, marketing, and business rely on Stata because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching asset pricing, capital market dynamics, customer-value management, consumer and firm behavior, or branding, Stata provides all the statistics, graphics, and data management tools to pursue a broad range of finance, marketing, and business questions.

Behavioral Sciences:

Quantitative behavioral scientists rely on Stata for its accuracy, extensibility, reproducibility, and ease of use. Whether you are researching cognitive development, studying personality traits, or developing measurement instruments, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of behavioural science questions.

Education:

Quantitative researchers in education rely on Stata because of its breadth, accuracy, and ease of use. Whether you are developing new tests or researching topics as diverse as learning and development, teacher effectiveness, or school finance, Stata puts the best statistical methods at your fingertips. All analysis is seamlessly integrated with graphics and data management into one package that lets you pursue a broad range of education questions.

Medical Research:

Medical researchers rely on Stata for its range of biostatistical methods, reproducibility, and ease of use. Whether you are conducting basic medical research or carrying out a clinical trial, Stata provides the tools you need to conduct your study from power and sample-size calculations to data management to analysis.

Public Policy:

Public policy researchers have relied on Stata for over 30 years because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching trade, international development, defense, health, energy and environment, education, law, or urban planning, Stata provides all the
statistics, graphics, and data management tools for you.

Biostatistics:

Biostatisticians rely on Stata because of its breadth, accuracy, extensibility, and reproducibility. Regardless of your focus area—public health, cancer, HIV, clinical observational studies, clinical trials—or your statistical approach, whether cross-sectional, longitudinal, or time-to-event, Stata
provides all the statistics, graphics, and data management tools needed to implement and study a wide range of bio-statistical methods.

Epidemiology:

Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings.

Political Science:

Quantitative political scientists rely on Stata because of its breadth, accuracy, and reproducibility. Whether you are researching decentralization and federalism, voting behaviour, legislative redistricting, or internal confict, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of political science questions.

Sociology:

Quantitative sociologists rely on Stata because of its breadth, reproducibility, and ease of use. Whether you are researching health, race and ethnicity, family, gender, inequality, or demography, Stata provides all the statistics, graphics, and data management tools needed to address a broad range of sociological questions.

Economics:

Economists have relied on Stata for over 30 years because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching school selection, minimum wage, GDP, or stock trends, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of economic questions.

Public Health:

Researchers in public health and health services research rely on Stata because of its breadth, reproducibility, and ease of use. Whether you study interventions to address obesity, investigate small-area variations in care, or conduct program evaluation, Stata provides support for a wide variety of study designs. It also gives you data management tools specially designed for health research and the ability to make publication-quality graphics for presentations.

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